The application of a combination of weighted least-squares and autoregressive methods in predictions of polar motion parameters

被引：0
作者：
Fei Wu
Kazhong Deng
Guobin Chang
Qianxin Wang
机构：
[1] School of Environment Science and Spatial Informatics,
[2] China University of Mining and Technology,undefined
来源：
Acta Geodaetica et Geophysica | 2018年 / 53卷
关键词：
Earth orientation products; Weighted least-squares; Autoregressive model; Polar motion prediction;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This study employs a combination of weighted least-squares extrapolation and an autoregressive model to produce medium-term predictions of polar motion (PM) parameters. The precisions of PM parameters extracted from earth orientation parameter (EOP) products are applied to determine the weight matrix. This study employs the EOP products released by the analysis center of the ‘International Global Navigation Satellite System Service and International Earth Rotation and Reference Systems Service’ needs to be modified to ‘International Global Navigation Satellite System Service (IGS) and International Earth Rotation and Reference Systems Service (IERS)’ as primary data. The polar motion parameters and their precisions are extracted from the EOP products to predict the changes in polar motion over spans of 1–360 days. Compared with the combination of least-squares and autoregressive model, this method shows considerable improvement in the prediction of PM parameters.
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页码：247 / 257
页数：10
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